Food and Water Systems in the Intelligent Age 2024

Framework for data integration and decision-making using the stack FIGURE 1 Decision and intelligence layer Innovation layer Digital and data layer Physical infrastructure layerA data stack for multistakeholder solutions DashboardScenario analysisCost-benefit analysisFood/water certificationChat interface Biotech Chem-techGreen value/ supply chainsWeather predictions Food and water, data and analytics, data sharing, and other platforms Farm boundariesWater use in the farmVirtual trade in water for foodWeatherWater storage Treatment plansLast-mile infrastructureLand useWarehousesWater source and storageDecision- makers/usersPolicy-makers, finance, consumers, farmers, private sector Note: Figure 1 illustrates an example of the types of data, frameworks and decisions that can be made using the stack. The “physical infrastructure” and “digital and data” layers provide the basis for data collection and the capabilities of the system under assessment. Through the implementation of options in the “innovation layer” and analysis from the “decision and intelligence” layer, decision-makers or users of the stack can make informed choices. List of sources and technologies is not exhaustive. By collating specialized expertise, data stacking can not only promote effective collaboration but also ensure clear roles and responsibilities, reducing ambiguity and building trust. By providing open access, facilitating tailored analyses and enabling real-time, forward-looking decisions, the approach can drive progress in the food and water sectors and ensure equity in access to information and innovation. Additionally, it could support advanced data collection and aggregation platforms that empower stakeholders to make well-informed decisions and thereby realize fit-for-purpose innovation. Food and Water Systems in the Intelligent Age 7